Comparison of Transfer-Learning Approaches for Response Selection in Multi-Turn Conversations

By Jesse Vig, Kalai Ramea. 2018

Subfields: Natural Language Processing

How researchers see this paper

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In Natural Language Processing

1. Jason Aaron Edward Weston
2. Kurt Shuster
3. Y-Lan Boureau
4. Samuel Humeau
5. Emily Dinan
6. Marie-Anne Lachaux
7. Eric Michael Smith
8. Da Ju

Citations in the corpus

• Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring (2019, methodology): “This has been explored with Sequential Matching Network CNN-based architectures (Wu et al., 2017), Deep Matching Networks (Yang et al., 2018), Gated Self-Attention (Zhang et al., 2018b), and most recently transformers (Wolf et al., 2019; Vig & Ramea, 2019; Urbanek et al., 2019).”
• Real-time Inference in Multi-sentence Tasks with Deep Pretrained Transformers (2019, methodology): “This has been explored with Sequential Matching Network CNN-based architectures (Wu et al., 2016), Deep Matching Networks (Yang et al., 2018), Gated Self-Attention (Zhang et al., 2018b), and most recently transformers (Wolf et al., 2019; Vig and Ramea, 2019; Urbanek et al., 2019).”